福建柏树高线性估测模型的多生长指标优化研究

树高是林木的主要生长指标之一,也是森林资源调查中的一个重要指标;林木树高生长往往可以反映其所在林地的质量。利用40株福建柏样木调查数据,基于以胸径为自变量的福建柏树高一元线性估测模型,引入枝下高与冠幅指标,建立了多元线性回归模型,并比较了二者的估测效果。结果表明:利用相同的建模数据拟合的福建柏树高多元线性回归模型的决定系数R~2较一元线性回归模型高0.0309,剩余标准差S低0.0612,估测精度高0.0047,说明引入同样对树高具有显著影响的枝下高和冠幅2个生长指标后,单独以胸径为自变量的福建柏树高线性回归模型得到了优化,估测结果的稳定性更强。

High Linear Estimation Model for Many Growth Index Optimization of Fokienia hodginsii Henry et

The height is one of the main growth parameters of tree and is an important indicator in the forest resources survey.The height growth of tree can often re ects the quality of its forestland.In this paper,the survey data of 40 sample trees of Fokienia hodginsii is used,on the basis of One-dimensional Linear Estimation Model with diameter at breast height as the independent variable,the parameters of under-branch height and crown diameter are brought in,and then Multiple Linear Regression Model is built and ...